719 skills · sorted by relevance
Plan creator partnerships from partner selection and compensation to content briefs, sponsorship disclosures, and performance measurement. The skill covers one-off sponsorships and ongoing ambassador programs, focusing on audience fit and qualified outcomes such as leads or purchases.
Find marketing ideas for a SaaS or software product based on its stage, audience, budget, and team. Draw from 139 ideas to shortlist relevant options, with starting steps, expected outcomes, and resources needed.
Design a process for AI agents to learn from execution records. Evaluate outcomes, actions, and quality, choose whether to update knowledge, instructions, code, or model parameters, and define independent validation, release checks, and rollback procedures.
Examine an early idea through focused questions from different perspectives. Test assumptions, expose weak points, and clarify decisions so you can strengthen the idea, reject it, or understand it better, with a report recording the outcome.
Build financial models for valuation and investment analysis using discounted future cash flows, assumption testing, and probability simulations. Outputs include Excel models, comparison tables, charts, and valuation ranges to examine possible outcomes and risks.
Analyze experimental or survey data with guidance on choosing statistical tests, checking assumptions, estimating effect sizes and uncertainty, planning sample sizes, and writing results in APA style, a standard format for research reporting.
Fit regression and time series models in Python, interpret coefficients, compare alternatives, and check model assumptions. Supports statistical diagnostics and forecasting, with confidence intervals and validation steps to assess uncertainty and predictive performance.
Build Bayesian models in PyMC to estimate effects and quantify uncertainty. Fit regression or hierarchical models, check sampling diagnostics, assess predictions against observed data, predict new groups, and compare models using predictive performance.
Analyze time series with aeon, a Python toolkit for data that changes over time. Supports classification, regression, clustering, forecasting, anomaly detection, and pattern search, with guidance on preprocessing, algorithm selection, and evaluation.
Operate the visible browser pane in a Cherry Studio conversation to navigate pages, click controls, fill forms, capture screenshots, and investigate browser issues. It can work with authenticated websites while checking page state and action outcomes.
Record task handoffs between Bots in shared Hindsight memory, including progress, remaining work, sources, and caveats. Other Bots can retrieve the record later, continue unfinished work, and report the outcome back through shared memory.
Store project conventions, task outcomes, and troubleshooting lessons in a shared Hindsight Cloud memory bank. Retrieve relevant context before new work, or synthesize past experience to guide decisions and help teammates reuse what has been learned.
Retrieve academic full texts and supporting files through open access, publisher APIs, or authorized institutional access. The skill selects a route for each paper, checks downloaded files, and records sources, formats, and download outcomes.
Test Android app flows defined in XML by performing taps, swipes, and text entry, then checking screen states. Produce a JSON report with step results, commands, and failure reasons, stopping at the first failure.
Turns supplied AI agent evaluation results into reports that distinguish autonomous success, human-assisted success, failure, timeout, and invalid runs. Makes metric denominators, retries, timing, costs, and comparison conditions explicit to support evidence-based decisions.
Compare agent, prompt, or tool configuration changes using versioned test cases and explicit outcome checks. Record each attempt, distinguish agent failures from evaluation or infrastructure problems, and report regressions, permission violations, and uncertainty.
Test how agent workflows recover from repeatable simulated failures, including tool timeouts, worker restarts, and lost memory. Produces a fault matrix, event timeline, and verdict showing whether state, safety boundaries, and retry budgets were preserved.
Explore World Cup match predictions, related news, and market probabilities. Adjust model factors to compare possible outcomes, then optionally hand off to Binance Agentic Wallet for prediction-market trading, where orders require an explicit choice and confirmation.
Compare how proxies and backend servers interpret HTTP requests in a CTF sandbox. Use paired requests and logs to pinpoint differences in paths, headers, or message boundaries, then document a minimal reproduction of unintended routing.
Track upcoming events that may affect investments, including earnings, product launches, regulatory decisions, and economic releases. Create a sortable Excel calendar and weekly preview covering event importance, expectations, and potential effects on existing positions.
Turn conversation logs, meeting notes, task records, and other OpenViking materials into daily Markdown reports. The skill separates confirmed outcomes from plans, consolidates repeated evidence, and links reported progress, decisions, blockers, and commitments to their sources.
Add clear runtime reporting to Python, PowerShell, or Node.js batch scripts. Design start messages, progress counts, item failures, and final summaries while preserving existing result output, error handling, and exit codes, then verify visibility during execution.
Explore a website with Playwright MCP by interacting with three to five key features or user flows. Document actions, interface elements and how to locate them, then generate test cases from the findings.
Plan pricing for APIs, SaaS, and developer tools using customer value and service costs. Compare pricing models, define free tier limits, structure enterprise offers, and assess when and how to raise prices.